Browsing by Subject "Random Forest"
Now showing items 1-11 of 11
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Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
(Brac University, 2022-05)The internet of things is one of today’s most revolutionary technologies. Because of its pervasiveness, increasing network connection capacity, and diversity of linked items, the internet of things (IoT) is adaptable and ... -
Comparative analysis and implementation of credit risk prediction through distinct machine learning models
(Brac University, 2021-06)Predicting the risk while lending money has always been a challenge for financial institutions. To make such decisions many banks or financial organizations follow different techniques to analyze a set of data. Manual ... -
Cyberbullying Detection using Machine Learning from Social Media comments in Bangla Language
(Brac University, 2022-05)Cyberbullying which is defined as bullying perpetrated through the use of informa tion and communication technology is a serious problem nowadays. As a result of the invention of social networks friendships through different ... -
Diagnosis of cervical cancer using effective hybrid model in Bangladesh
(Brac University, 2021-06)This paper discusses the various forms of restraints, regulations, struggles, and reme dies for overcoming cervical cancer challenges. It is a life-threatening disease that affects women all over the world. The lack of ... -
A feature selection approach to determine obesity using machine learning method
(Brac University, 2021-06)The new health concern that is proliferating in developing and impoverished countries is obesity. It is recognized as a complex health issue caused by various factors such as genetics, behaviour, and other issues. Obesity ... -
Identification of fake news using machine learning in distributed system
(Brac University, 2021-06)The World Wide Web’s launch and the rapid adoption of social media platforms (such as Facebook and Twitter) paved the way for unparalleled levels of information diffusion in human history. Consumers are creating and ... -
Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
(Brac University, 2022-01)Nowadays, the number of interconnected devices (IoT) is increasing dramatically. This expansion poses new security problems for network operators, IoT service providers, and users. Security measures implemented on IoT ... -
A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
(Brac University, 2021-08)Rainfall has always been important in context of Bangladesh as almost 43% of the population depends on agriculture for their livelihood. Global warming has been taking a toll on environment and rainfall patterns have ... -
A machine learning approach to predict young voter enthusiasm based on non-political factors
(Brac University, 2020-04)The right to vote is considered to be the backbone of democracy. As we are entering the third decade of 21st century more and more countries around the world are adopting the democratic government system. One of most ... -
SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
(Brac University, 2021-01)Importance of cyber-security in protecting our valuable data and information is huge in this era of technology. Since numerous amounts of cyber-attacks take place every day, the development of a more secured system so ... -
Stock market prediction using ensemble learning
(Brac University, 2020-04)An unpredictable sector of finance market which involves three major roles: investors, buyers and sellers is called a stock market. Also stock prices may not only change the future economy of a country but also have direct ...
